Logistic regression and latent class models for estimating positivities in diagnostic assays with poor resolution

DOI10.1080/03610929708832007zbMath0955.62634OpenAlexW2066952362WikidataQ56831106 ScholiaQ56831106MaRDI QIDQ4269923

Penelope Vounatsou, Tom Smith

Publication date: 10 November 1999

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929708832007

zbMATH Keywords

bootstrapEM algorithmMonte Carlo simulationnon-parametric regressionattributable fractionfinite mixture distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (2)

A two-component nonparametric mixture model with stochastic dominance ⋮ Semiparametric modelling of two-component mixtures with stochastic dominance

Cites Work

• Sampling-Based Approaches to Calculating Marginal Densities
• The Estimation and Interpretation of Attributable Risk in Health Research
• Maximum Likelihood Estimation of the Attributable Fraction from Logistic Models
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